Title :
Research on Intelligent Tutoring System Based on Affective Model
Author_Institution :
Dept. of Math. & Comput. Sci., Shangrao Normal Univ., Shangrao, China
Abstract :
The traditional tutoring system has paid attention to learner´s cognitive element and neglected learner´s emotion. To solve the lack of the emotional interaction in e-learning, the paper proposes a model of intelligent tutoring system based on affective computing. In the model, four kinds of basic emotion are described, mood and emotion are defined and the mapping between emotion and learning psychology is established. The teaching agent is designed and the system is realized by using the facial expression recognition method.
Keywords :
face recognition; intelligent tutoring systems; software agents; affective model; emotional interaction; facial expression recognition method; intelligent tutoring system; learner cognitive element; learning psychology; neglected learner emotion; teaching agent; Cognition; Databases; Education; Face recognition; Hidden Markov models; Information technology; Intelligent systems; Mathematical model; Multimedia systems; Psychology;
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
DOI :
10.1109/MMIT.2010.127
